We present SemEval-2024 Task 10, a shared task centred on identifying
emotions and finding the rationale behind their flips within monolingual
English and Hindi-English code-mixed dialogues. This task comprises three
distinct subtasks - emotion recognition in conversation for code-mixed
dialogues, emotion flip reasoning for code-mixed dialogues, and emotion flip
reasoning for English dialogues. Participating systems were tasked to
automatically execute one or more of these subtasks. The datasets for these
tasks comprise manually annotated conversations focusing on emotions and
triggers for emotion shifts (The task data is available at
this https URL). A total of 84
participants engaged in this task, with the most adept systems attaining
F1-scores of 0.70, 0.79, and 0.76 for the respective subtasks. This paper
summarises the results and findings from 24 teams alongside their system
descriptions.

SemEval-2024 任务 10 旨在识别情绪并找到其在单语英文和印地英语混合对话中翻转的原因。该任务包括三个子任务：混合语言对话中的情绪识别，混合语言对话中的情绪翻转推理以及英语对话中的情绪翻转推理。参与者的任务是自动执行一个或多个子任务。数据集包括手动标注的关注情绪和情绪转变触发器的对话。共有 84 个参与者参与了该任务，其中最优系统的 F1 得分分别为 0.70、0.79 和 0.76。本文总结了来自 24 个团队及其系统描述的结果和发现。